@inproceedings{fde0468cb0414dbb98f48d8163f9ffb1,
title = "On the Performance of the ORTHOMADS Algorithm on Continuous and Mixed-Integer Optimization Problems",
abstract = "ORTHOMADS is an instantiation of the Mesh Adaptive Direct Search (MADS) algorithm used in derivative-free and blackbox optimization. We investigate the performance of the variants of ORTHOMADS on the bbob and bbob-mixint, respectively continuous and mixed-integer, testbeds of the COmparing Continuous Optimizers (COCO) platform and compare the considered best variants with heuristic and non-heuristic techniques. The results show a favourable performance of ORTHOMADS on the low-dimensional continuous problems used and advantages on the considered mixed-integer problems. Besides, a generally faster convergence is observed on all types of problems when the search phase of ORTHOMADS is enabled.",
keywords = "Benchmarking, Blackbox optimization, Derivative-free optimization, Mesh Adaptive Direct Search, Mixed-integer blackbox",
author = "Dahito, \{Marie Ange\} and Laurent Genest and Alessandro Maddaloni and Jos{\'e} Neto",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 1st International Conference on Optimization, Learning Algorithms and Applications, OL2A 2021 ; Conference date: 19-07-2021 Through 21-07-2021",
year = "2021",
month = jan,
day = "1",
doi = "10.1007/978-3-030-91885-9\_3",
language = "English",
isbn = "9783030918842",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "31--47",
editor = "Pereira, \{Ana I.\} and Fernandes, \{Florbela P.\} and Coelho, \{Jo{\~a}o P.\} and Teixeira, \{Jo{\~a}o P.\} and Pacheco, \{Maria F.\} and Paulo Alves and Lopes, \{Rui P.\}",
booktitle = "Optimization, Learning Algorithms and Applications - 1st International Conference, OL2A, 2021, Revised Selected Papers",
}